Data Center Operations Manager, SIN InfraOps

Amazon is hiring a Data Center Operations Manager, SIN InfraOps in Singapore, Singapore. Level rates it ; you can apply on Amazon.

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Little AI ●○○○ is how Level rates this role: aI is not part of the work.
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AI in this role

Amazon Web Services is a fast paced technology company and a leader in the world of Data Centers. We are looking for proven Data Center Technology Managers with experience in people management, strong technical understanding and the drive and vision to take Amazon.com Data Center Operations to the next level.

The company's infrastructure consists of various custom built and off-the-shelf applications operating on a variety of platforms and other major technologies. The successful candidate will have experience managing staff on a 7/24 rotating shift, Problem Change & Incident Management, creating & tracking expenditure, devising and implementing improvements, mentoring people in all levels, supporting Infrastructure projects and proposing technical solutions.

Key job responsibilities
- Management of the team of Data Center Technicians; this includes all aspect of people/performance/rotation management.
- Ensuring effective and efficient management of day to day 24x7 Datacenter Operations.
- Manage/Improve the workflows and throughput for data Centers Operations.
- Become a subject master in Data Center Operations.
- Ensure all operational KPIs and Metrics are being measured and met inside his/her Data Centers(s).
- Play a key part in innovation and driving automation within Data Center Operations.
- Be passionate about the quality and quantity of services being provided by the Data Center Operations team and continuously strive to improve our Customer Experience.
- Management of large scale events in the Datacenter(s).
- Part of an on-call rotation for Datacenter Issue escalations.
- Vendor management/monitoring vendor performance.
- Ensuring his/her Data Center is compliant with all relevant security policies and procedures.

A day in the life
The successful candidate will have experience creating/devising strategies, mentoring people in all levels, sponsoring projects and proposing technical solutions. This position involves leading teams in hardware and network diagnostics followed by physical repair and includes participation in an on-call rotation.

All candidates should be willing to work both independently and managing their teams effectively. Work prioritization, organizational skills, effective communication, and the ability to react quickly are critical to being successful. In addition to strong knowledge in Data Centers, hardware and network repair, candidates will create documentation, innovate solutions, participate in site-level project work, and fix complex problems within the Data Center Space. This team works in an environment that operates 24/7.

About the team
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and Diversity conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic qualifications

- Bachelor's degree or equivalent, or 4+ years of direct people management, including performance management and employee development experience
- Experience in project management including resource planning, managing schedules, reporting project status and prioritizing tasks
- Experience deploying, managing, and optimizing Microsoft Windows Server, or experience in Linux OS and network troubleshooting and experience that includes strong analytical skills, attention to detail, and effective communication abilities
- In-depth knowledge and experience of change / incident management.
- Experience working with customers with a passion for delivering exceptional service, or experience in web security and experience that includes strong analytical skills, attention to detail, and effective communication abilities.

Preferred qualifications

- Experience working in large-scale networking environments
- Experience in networking, storage systems, operating systems and hands-on systems engineering
- Data Center related certification - CDCP/S/E, CDCMP/TP.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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How we rate this

Data Center Operations Manager, SIN InfraOps at Amazon rates 38 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.